
class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Union[str, Any]	,  a						:str = ""	,  a						:bool = False		)						->					None:
								# Mapping from the first character of the prefix of the node
								__UpperCamelCase      :  dict[str, RadixNode]       =   {}

								# A node will be a leaf if the tree contains its word
								__UpperCamelCase      :  Tuple       =   is_leaf

								__UpperCamelCase      :  Tuple       =   prefix







	def   _lowerCamelCase							(   self						:Tuple	,  a						:str		)						->					tuple[str, str, str]:
								__UpperCamelCase      :  Dict       =   0
								for q, w in zip(self.prefix	,  a		):
															if q != w:
																						break

															x += 1

								return self.prefix[:x], self.prefix[x:], word[x:]







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:list[str]		)						->					None:
								for word in words:
															self.insert(a		)







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:str		)						->					None:
								# Case 1: If the word is the prefix of the node
								# Solution: We set the current node as leaf
								if self.prefix == word:
															__UpperCamelCase      :  Dict       =   True

								# Case 2: The node has no edges that have a prefix to the word
								# Solution: We create an edge from the current node to a new one
								# containing the word
								elif word[0] not in self.nodes:
															__UpperCamelCase      :  Any       =   RadixNode(prefix=a	,  is_leaf=a		)

								else:
															__UpperCamelCase      :  str       =   self.nodes[word[0]]
															__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  List[Any]       =   incoming_node.match(
															    a		)

															# Case 3: The node prefix is equal to the matching
															# Solution: We insert remaining word on the next node
															if remaining_prefix == "":
																						self.nodes[matching_string[0]].insert(a		)

															# Case 4: The word is greater equal to the matching
															# Solution: Create a node in between both nodes, change
															# prefixes and add the new node for the remaining word
															else:
																						__UpperCamelCase      :  Union[str, Any]       =   remaining_prefix

																						__UpperCamelCase      :  Union[str, Any]       =   self.nodes[matching_string[0]]
																						__UpperCamelCase      :  List[Any]       =   RadixNode(a	,  a		)
																						__UpperCamelCase      :  Optional[int]       =   aux_node

																						if remaining_word == "":
																													__UpperCamelCase      :  Optional[Any]       =   True
																						else:
																													self.nodes[matching_string[0]].insert(a		)







	def   _lowerCamelCase							(   self						:Tuple	,  a						:str		)						->					bool:
								__UpperCamelCase      :  Union[str, Any]       =   self.nodes.get(word[0]	,  a		)
								if not incoming_node:
															return False
								else:
															__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  List[str]       =   incoming_node.match(
															    a		)
															# If there is remaining prefix, the word can't be on the tree
															if remaining_prefix != "":
																						return False
															# This applies when the word and the prefix are equal
															elif remaining_word == "":
																						return incoming_node.is_leaf
															# We have word remaining so we check the next node
															else:
																						return incoming_node.find(a		)







	def   _lowerCamelCase							(   self						:int	,  a						:str		)						->					bool:
								__UpperCamelCase      :  Optional[Any]       =   self.nodes.get(word[0]	,  a		)
								if not incoming_node:
															return False
								else:
															__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  Any       =   incoming_node.match(
															    a		)
															# If there is remaining prefix, the word can't be on the tree
															if remaining_prefix != "":
																						return False
															# We have word remaining so we check the next node
															elif remaining_word != "":
																						return incoming_node.delete(a		)
															else:
																						# If it is not a leaf, we don't have to delete
																						if not incoming_node.is_leaf:
																													return False
																						else:
																													# We delete the nodes if no edges go from it
																													if len(incoming_node.nodes		) == 0:
																																				del self.nodes[word[0]]
																																				# We merge the current node with its only child
																																				if len(self.nodes		) == 1 and not self.is_leaf:
																																											__UpperCamelCase      :  str       =   list(self.nodes.values()		)[0]
																																											__UpperCamelCase      :  Union[str, Any]       =   merging_node.is_leaf
																																											self.prefix += merging_node.prefix
																																											__UpperCamelCase      :  Dict       =   merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																													elif len(incoming_node.nodes		) > 1:
																																				__UpperCamelCase      :  int       =   False
																													# If there is 1 edge, we merge it with its child
																													else:
																																				__UpperCamelCase      :  Tuple       =   list(incoming_node.nodes.values()		)[0]
																																				__UpperCamelCase      :  List[str]       =   merging_node.is_leaf
																																				incoming_node.prefix += merging_node.prefix
																																				__UpperCamelCase      :  Union[str, Any]       =   merging_node.nodes

																													return True







	def   _lowerCamelCase							(   self						:Tuple	,  a						:int = 0		)						->					None:
								if self.prefix != "":
															print("-" * height	,  self.prefix	,  "  (leaf)" if self.is_leaf else ""		)

								for value in self.nodes.values():
															value.print_tree(height + 1		)




def       _SCREAMING_SNAKE_CASE   (						)   ->       bool:






							'''simple docstring'''





							__UpperCamelCase      :  Union[str, Any]       =   "banana bananas bandana band apple all beast".split()
							__UpperCamelCase      :  Tuple       =   RadixNode()
							root.insert_many(_lowerCamelCase)

							assert all(root.find(_lowerCamelCase) for word in words)
							assert not root.find("bandanas")
							assert not root.find("apps")
							root.delete("all")
							assert not root.find("all")
							root.delete("banana")
							assert not root.find("banana")
							assert root.find("bananas")

							return True




def       _SCREAMING_SNAKE_CASE   (						)   ->       None:






							'''simple docstring'''





							assert test_trie()




def       _SCREAMING_SNAKE_CASE   (						)   ->       None:






							'''simple docstring'''





							__UpperCamelCase      :  List[Any]       =   RadixNode()
							__UpperCamelCase      :  List[Any]       =   "banana bananas bandanas bandana band apple all beast".split()
							root.insert_many(_lowerCamelCase)

							print("Words:"		,    _lowerCamelCase)
							print("Tree:")
							root.print_tree()


if __name__ == "__main__":
		main()

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
		from ..models.auto import AutoTokenizer




class 					lowerCamelCase__				:




	'''simple docstring'''




	def   _lowerCamelCase							(   self						:Optional[Any]	,  a						:int		)						->					Any:
								raise NotImplementedError()







	def   _lowerCamelCase							(   self						:Any		)						->					Optional[int]:
								raise NotImplementedError()




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:List[Any]	,  a						:"AutoTokenizer"	,  a						:bool = False	,  **a						:Tuple		)						->					Union[str, Any]:
								__UpperCamelCase      :  int       =   tokenizer
								__UpperCamelCase      :  Any       =   skip_prompt
								__UpperCamelCase      :  Union[str, Any]       =   decode_kwargs

								# variables used in the streaming process
								__UpperCamelCase      :  Union[str, Any]       =   []
								__UpperCamelCase      :  str       =   0
								__UpperCamelCase      :  str       =   True







	def   _lowerCamelCase							(   self						:List[str]	,  a						:Union[str, Any]		)						->					Any:
								if len(value.shape		) > 1 and value.shape[0] > 1:
															raise ValueError("TextStreamer only supports batch size 1"		)
								elif len(value.shape		) > 1:
															__UpperCamelCase      :  Optional[int]       =   value[0]

								if self.skip_prompt and self.next_tokens_are_prompt:
															__UpperCamelCase      :  Optional[Any]       =   False
															return

								# Add the new token to the cache and decodes the entire thing.
								self.token_cache.extend(value.tolist()		)
								__UpperCamelCase      :  Optional[int]       =   self.tokenizer.decode(self.token_cache	,  **self.decode_kwargs		)

								# After the symbol for a new line, we flush the cache.
								if text.endswith("\n"		):
															__UpperCamelCase      :  Optional[int]       =   text[self.print_len :]
															__UpperCamelCase      :  Dict       =   []
															__UpperCamelCase      :  int       =   0
								# If the last token is a CJK character, we print the characters.
								elif len(a		) > 0 and self._is_chinese_char(ord(text[-1]		)		):
															__UpperCamelCase      :  Optional[int]       =   text[self.print_len :]
															self.print_len += len(a		)
								# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
								# which may change with the subsequent token -- there are probably smarter ways to do this!)
								else:
															__UpperCamelCase      :  Any       =   text[self.print_len : text.rfind(" "		) + 1]
															self.print_len += len(a		)

								self.on_finalized_text(a		)







	def   _lowerCamelCase							(   self						:List[str]		)						->					List[str]:
								# Flush the cache, if it exists
								if len(self.token_cache		) > 0:
															__UpperCamelCase      :  str       =   self.tokenizer.decode(self.token_cache	,  **self.decode_kwargs		)
															__UpperCamelCase      :  str       =   text[self.print_len :]
															__UpperCamelCase      :  str       =   []
															__UpperCamelCase      :  int       =   0
								else:
															__UpperCamelCase      :  int       =   ""

								__UpperCamelCase      :  Optional[Any]       =   True
								self.on_finalized_text(a	,  stream_end=a		)







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:str	,  a						:bool = False		)						->					str:
								print(a	,  flush=a	,  end="" if not stream_end else None		)







	def   _lowerCamelCase							(   self						:Optional[int]	,  a						:Optional[Any]		)						->					str:
								# This defines a "chinese character" as anything in the CJK Unicode block:
								#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
								#
								# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
								# despite its name. The modern Korean Hangul alphabet is a different block,
								# as is Japanese Hiragana and Katakana. Those alphabets are used to write
								# space-separated words, so they are not treated specially and handled
								# like the all of the other languages.
								if (
								    (cp >= 0x4e_00 and cp <= 0x9f_ff)
								    or (cp >= 0x34_00 and cp <= 0x4d_bf)  #
								    or (cp >= 0x2_00_00 and cp <= 0x2_a6_df)  #
								    or (cp >= 0x2_a7_00 and cp <= 0x2_b7_3f)  #
								    or (cp >= 0x2_b7_40 and cp <= 0x2_b8_1f)  #
								    or (cp >= 0x2_b8_20 and cp <= 0x2_ce_af)  #
								    or (cp >= 0xf9_00 and cp <= 0xfa_ff)
								    or (cp >= 0x2_f8_00 and cp <= 0x2_fa_1f)  #
								):  #
															return True

								return False




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Any	,  a						:"AutoTokenizer"	,  a						:bool = False	,  a						:Optional[float] = None	,  **a						:Dict		)						->					str:
								super().__init__(a	,  a	,  **a		)
								__UpperCamelCase      :  str       =   Queue()
								__UpperCamelCase      :  Dict       =   None
								__UpperCamelCase      :  Optional[int]       =   timeout







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:str	,  a						:bool = False		)						->					Dict:
								self.text_queue.put(a	,  timeout=self.timeout		)
								if stream_end:
															self.text_queue.put(self.stop_signal	,  timeout=self.timeout		)







	def __iter__(   self						:Tuple		)						->					Tuple:
								return self







	def   _lowerCamelCase							(   self						:List[Any]		)						->					Dict:
								__UpperCamelCase      :  List[Any]       =   self.text_queue.get(timeout=self.timeout		)
								if value == self.stop_signal:
															raise StopIteration()
								else:
															return value